Data Scientist

Full time

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Employment Information

Job levelMedium level

IndustryTechnology Information and Internet

Experience3+ years

LocationRemote, United States

Before we get started:

Here at Ingenio, we’d love to talk with you regardless of your qualifications or years of experience. If you believe you’d be a great fit for this role, we invite you to apply even if you do not meet all points on the job description.

Who we are:

Ingenio is a global media and technology company developing products that provide guidance on love, relationships, career, and life overall. We are passionate about connecting people with the world’s best advisors and content to empower everyone to live happier lives. Ingenio offers the world’s largest portfolio of over 25 marketplace and media brands in the spiritual and emotional wellness space – led by flagship brands such as Keen and Horoscope.com in the US, Questico and AstroTV in Germany, Purple Garden in Israel and Ukraine, The Circle in the UK, and Kang in France.

How you’ll be impactful:

As a Data Scientist, you bring scientific rigor and statistical methods to the challenges of product creation, development, and improvement with an appreciation for the behaviors of the end user. Our ideal candidate will also collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems.

What you’ll be doing:

Create visualizations and run inference analytics to help us deeply understand our data and help in taking critical business decisions
Work with large amount of text and customer engagement data to help build scalable analytic solutions
Design, develop and maintain a robust and scalable data management pipeline and Machine Learning
Set up standards for versioning and data quality control
Independently do data analysis to find the gaps and signals in data to help build/improve Machine Learning Models
Use the statistic knowledge to design A/B test for ML models deployment
MLE: API Integration, Feature Engineering, Model Building, Model deployment and Model Lifecycle Management

What you’ll need to be successful:

Master’s Degree from an accredited University in a quantitative discipline: Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, Economics or similar
3+ years of experience in working in the field of data analysis or 2+ years of experience in data science building ML models
2+ years of experience with SQL and other RDBMS databases
2+ years of experience working with linear regression, logistic regression, random forest, gradient boosting algorithms and other similar machine learning algorithms
2+ years of experience in doing a/b testing
3+ years of experience with Python or R frameworks used for data manipulation, visualizations, and mining. The frameworks may include but are not limited to Pandas, Numpy, Scikit-Learn, Seaborn, tensorflow pytorch etc.
Sound knowledge of ML, ML metrics and business metrics
Ability to present complex analysis and insights in simpler terms
Ability to present complex analysis and insights in simpler terms

Perks & Benefits:

Friendly, talented, collaborative and entrepreneurial team
Premium medical, dental, and vision insurance
Generous holiday and PTO policies (including Birthday PTO!)
Summer Fridays
401k matching program
Lunch
Technology stipends
Wellness allowance
Training and development opportunities and allowance
Fun and inclusive digital, and (in the future) in-person events
Employee groups - DEI committee, fun committee, wellness group and more

Pay Transparency:

The US base salary range for this full-time position is still being determined. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

Why Ingenio:

Our growing team of over 400 employees is powered by our diverse perspectives and company core values:

We are humble. We believe the best result is achieved by leveraging others’ perspectives
We think like owners. We make decisions that optimize for the greater good of the organization
We challenge limiting beliefs. We are at our best when we identify and shatter status quo expectations

Ingenio is an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Apply now